Is Data Science a Good Career Option for You?

[vc_row][vc_column][vc_column_text]Choosing a career option comes with tons of questions. Which career path you should choose for your livelihood depends on how it aligns with your life goals. Data science is one of the most-sought out disciplines and it has gained huge recognition in recent decades. A number of people are opting it as a career option. However, a question may arise in your head. Is data science a good career choice?  Undoubtedly, it’s an excellent career option if you’re someone looking for such an option which assists you in  building a reputed and secured career. With high demand, good salary packages, and great stability, the rapidly growing field is a go-to option. Don’t feel convinced? Let’s dive deep into this blog and learn how and why data science can be a lucrative career option for you. But before it let’s discuss what data science is and what you can become after taking it as a career option. What is Data Science?  Data science is a multidisciplinary approach for collecting goal -oriented information from vast amounts of data with the combined skills of mathematics, statistics, specialised programming language, advanced analytics, artificial intelligence and machine learning. Various industries including IT, Health, Finance, e-commerce, Real estate, etc., require data science experts to extract valuable data-driven insights for data visualisation, fraud detection, sentiment analysis, decision-making etc., and create a huge high-paying job market for the data science professionals, called data scientists. Advantages of Choosing Data Science as a Career Option    #1. High Demand for Data Science Professionals Data is a fuel to understand any industry and grow in it. Different organisations, especially IT and Big data industries, require data scientists to collect invaluable data from vast databases that help grow the business. With the increased understanding of the importance of structured data, the demand for data scientists has increased in multiple industries and organisations. #2. International Job Offers  Data scientists’ job is receiving global recognition. A person with good skill sets in data science can get a job in giant companies in various countries, including the US, UK, Canada, Germany, Switzerland etc. #3. High-Salary Package Data science experts can expect high salary packages. However, the salary depends on various factors like the industry type, experience, and location. The salary of a data scientist ranges from ₹3.6 Lakhs to ₹ 25.0 Lakhs annually in India. In Countries like the US, you can earn up to ₹1 Crore annually. #4. Career Security  Yes, Data science courses offer a safe and secure career. Since, Data will never end simultaneously; It’s present in massive amounts. It will always require someone to extract valuable data according to the requirements. #5. Continuous Learning  The data scientist job is an ever-evolving field that will always make you learn something new. If you’re someone who prefers learning, Data science is the best job for you. However, remember that to sustain your career in this domain, you must keep learning and stay flexible to adopt new features and introductions. Required Skills and Qualifications to Be a Data Science Professional  #1. Recognised Certificates  Data science is a new and evolving field. Anyone with the right skill sets can pursue a career as a data scientist. However, a certificate from a reputed institute can help them search for a job and portray themselves as data scientists. #2. Command Over Programming Language  Python, R, SQL, Java, Julia, Scala, C/C++, and Java Script are top data science programming languages. Python and SQL are leading the field. Commanding over these tech languages can help you establish your career as a data scientist. #3. Understanding of Mathematics and Statistics  Data science experts use mathematical and statistical techniques to manipulate, analyse and extract information from data. So, data science aspirants with better mathematical and statistical understanding can excel in the field easily. #4. Good Communication Skill  Data analysis experts must have good Communication skills as they are required to convey complex information in a valuable and meaningful way to team members, clients, and stakeholders. #5. Problem-Solving Approach  Data scientists must pose a problem-solving approach. They need to think out of the box and structure the unstructured data in such a way that it helps businesses and aids in the decision-making process. How to Build Your Career in Data Science?   Here is a step-by-step guide for you to make your career in data science. Step1: Learn and command data science skills efficiently to become a data scientist, as Data Science is a well-known and competitive discipline. Step2: Must have a better understanding of various tools and patterns used by data scientists to develop and organise crucial information out of huge amounts of data. Step3: Take online or offline classes that offer data science courses to learn data science skills in an efficient and organised way. iTpreneur is one of the well-known IT training institutes in Pune. It provides certified data science courses of six months with 100% guaranteed placement, day one offer letter, and job-oriented training to the data science aspirants. You can enrol yourself with iTpreneur Data Science Course in Pune, learn the required skill, get placed and establish yourself as a data scientist. Data science is the fastest-growing field. Taking it as a career option is the best choice, unarguably. The leading IT training centre, iTpreneur, will help you learn data science skills and achieve your career goals in the field. FAQs Related to Data Science as a Career Option Is data science in high demand?  Yes, Data science is highly recognised from the healthcare sector to finance, IT and big data industries, all of which require data analytics to obtain unstructured data and convert them into structured data. Is data science a high-paying job?  Yes, Data science offers high-paying jobs. You can simply search over any search engine, job portals, and professional platforms to learn how data scientists get reasonable salaries as compared to other fields. Is a data science job difficult? No, Data science is not a difficult job. With the right and organised skill sets,

How to Become a Python Developer

Are you eager to become a Python developer? Curious about the crucial Python developer skills and the lucrative salary prospects in India’s job market?  You’re in the right place!  Explore essential Python developer skills and salary insights here—guiding you toward a prosperous career in Python development. Growing Demand for Python Developers Python is in high demand in India, with several IT companies relying on it—offering abundant career opportunities.  Whether you’re interested in data science, finance, healthcare, or e-commerce, Python skills can open doors to a thriving career with an average annual growth of 45% for Python developers, as per 2021 data. Overview of Python  Python is a versatile programming language known for its simplicity and readability.  With Python, you can build websites, analyze data, develop applications, and explore artificial intelligence. Python makes it all possible.  What’s more? The vibrant Python community ensures you’re never alone on your journey, making it the perfect choice to kickstart your rewarding programming career. Getting Started with Python What is Python? Python is a high-level, general-purpose programming language known for its simplicity, readability, and versatility.  The language has gained widespread popularity for its ease of learning, clean syntax, and applicability in various domains—including web development, data analysis, scientific computing, automation, and artificial intelligence.  It also boasts a vast standard library and a thriving open-source community, making it an ideal choice for both beginners and experienced developers seeking to build robust and efficient software solutions. Reasons to Choose Python  Python ensures its user-friendly nature, adaptability, productivity boost, strong community support, and abundant career opportunities. This makes it the most preferred choice over other programming languages. Ease of Learning: Python’s beginner-friendly syntax and readability make it ideal for newcomers, ensuring a smooth and enjoyable learning experience. Versatility: Python’s adaptability allows you to pursue diverse interests, from web development to data science, without the need to learn multiple languages. Productivity: Python’s rich standard library and third-party packages simplify development, enabling you to build applications more efficiently. Community Support: A welcoming and active Python community ensures you have access to helpful resources, tutorials, and assistance whenever needed. Industry Demand: Python’s widespread use across industries guarantees numerous job opportunities, making it a smart choice for career growth. Is It Hard To Become a Python Developer? Becoming a Python developer is accessible and not typically considered hard, especially for beginners.  Python’s simplicity, readability, and extensive resources make it an excellent starting point for learning programming. What sets Python apart is its efficiency; you’ll often need fewer lines of code to accomplish tasks, compared to languages like Java or C/C++.  This user-friendly approach ensures that Python is an excellent choice for those starting your programming journey. How to Become a Python Developer? Step 1: Learn the Basics of Programming Begin your journey by understanding programming fundamentals Concepts like variables, data types, and operators Logic with control structures (if, loops) Functions and modular programming Input/output handling Step 2: Set Up Your Development Environment Configure your Python development environment Choose an Integrated Development Environment (IDE) Install Python and necessary packages Learn version control with tools like Git Step 3: Master Python Fundamentals Dive deep into Python’s core concepts Advanced data types (lists, dictionaries, sets) File handling and exceptions Object-Oriented Programming (OOP) principles Python’s standard library Step 4: Deepen Your Knowledge with Advanced Topics Progress to more advanced Python concepts Decorators and generators Context managers Multi-threading and multiprocessing Regular expressions Step 5: Work with Python Data Structures Explore data manipulation with Python Learn data structures like stacks, queues, and trees Advanced data manipulation with NumPy and Pandas Step 6: Learn About Python Libraries and Frameworks Discover Python’s vast ecosystem Web development with Django or Flask Data analysis with Matplotlib and Seaborn Machine learning with scikit-learn Step 7: Build Projects Apply your knowledge with hands-on projects Develop web applications, data analysis tools, or automation scripts Experiment with real-world scenarios Step 8: Practice Coding Challenges Sharpen your problem-solving skills Solve coding challenges on platforms like LeetCode and HackerRank Learn algorithms and data structures Step 9: Network and Join Python Communities Connect with the Python community Attend local meetups and conferences Engage in online forums and discussion groups Collaborate on open-source projects Step 10: Create an Impressive Portfolio Showcase your work and skills Build a personal website or portfolio Include project descriptions and code samples Step 11: Prepare for Interviews Ready yourself for job interviews Practice coding interviews Learn about common interview questions Be confident in discussing your projects Step 12: Keep Your Resume and Profile Updated on Job Portals Maintain an active presence Regularly update your resume and LinkedIn profile Apply for job openings aligned with your skills Learn the Basics of Programming Start by understanding fundamental programming concepts like variables, data types, loops, and conditional statements.  Learn how to think algorithmically and solve problems logically. Set Up Your Development Environment Install Python on your computer from the official Python website.  Choose a code editor or integrated development environment (IDE) like Visual Studio Code, PyCharm, or Jupyter Notebook for coding comfort. Master Python Fundamentals Dive into Python’s core syntax, understanding concepts like functions, variables, and data structures.  Explore object-oriented programming (OOP) principles and practice writing Python code regularly. Deepen Your Knowledge with Advanced Topics Explore advanced Python topics such as decorators, generators, context managers, and modules.  Stay updated with the latest Python 3 features to leverage its capabilities fully. Work with Python Data Structures Understand Python’s built-in data structures like lists, tuples, dictionaries, and sets.  Learn how to manipulate and utilize them effectively for data handling and processing. Learn About Python Libraries and Frameworks Familiarize yourself with Python libraries and frameworks relevant to your interests.  For data analysis, consider libraries like NumPy and pandas. For web development, explore Django and Flask. Build Projects Apply your knowledge by creating real-world projects.  Start with simple ones, like a to-do list application, and gradually take on more complex projects.  Projects provide practical experience and demonstrate your skills. Practice Coding Challenges Solve coding challenges on online platforms like LeetCode, HackerRank,

Java Developer Salary in India 2023

Since IT technology is always evolving, skills quickly become obsolete. Therefore, a genuine curiosity for knowledge is crucial for Java developers in India. Being able to work well with others is crucial for a career as a Java developer. Effective communication with both colleagues and clients is essential for a successful career as a Java developer in India. Java has been the go-to language for everything from learning to code to developing apps for Android and other platforms. Due to its adaptability and widespread support, it has become a favorite among programmers. It has quickly risen to the ranks of the world’s most sought-after languages.  Let’s understand the realm of Java developer salaries in India, illuminating the possible earnings and employment outlook for those interested in this sector. Whether you are just starting out (Fresher) in your career or are well established (Experienced), knowing the current compensation trends and the factors that affect Java developer salaries in India is essential. Java and its Popularity as a Programming Language Java is an adaptable, scalable, and object-oriented programming language that has found widespread use. The following areas have all benefited from Java use.  Enterprise-level applications web-based systems Android mobile applications Java’s widespread adoption in the software development industry may be attributed to the language’s reliability, wealth of available libraries, and variety of available frameworks. Trends in Java and its Demands Java and Its adaptability has made it one of the most sought-after languages in the world. A Java developer in India may specialize in front-end work, utilise Java on the server, or create standalone programs and tools in Java.  Therefore, the pay for Java programmers in India is much more. If you want to encourage transformation, try putting up some novel ideas and setting some ambitious goals for growing portfolio. The proper personnel is essential, of course. It’ll be the cherry on top of your career portfolio if you are in the market for Java programmers.   DevOps: DevOps, short for “developer operations,” is the collaboration between software engineers and IT specialists.  IT personnel are entrusted with software configuration and maintenance, whereas developers focus on program creation, testing, and packaging.  Git: Most Developers have the command-line version control system knowledge to make the most of Git. Its web-based equivalent, GitHub, has a lot going for it as well. However, any developer who can use Git with authority will be viewed as a magician by their peers.  Big Data: Back-end developers have extensive experience with data handling. However, further care is needed with such huge data. The term “big data” is commonly used to describe the challenges faced by data engineers when working with very large and complicated data collections.  Serverless architecture: It is often known as serverless computing, is a method of developing and deploying software that eliminates the need for a traditional server and its associated infrastructure.  Year after year, cloud computing remains a hot topic. It’s the same story again this year.  You need to keep up with the rapid changes occurring in Java, which range from AI and machine learning to cloud computing and microservices. This essay will help any reader, whether a seasoned Java developer or a tech enthusiast, uncover the fascinating advancements that will determine the future of Java and revolutionize the computer sector. Salary Predictor Variables for Java Developer Salary in India Java developer wages fluctuate for several reasons. Having this knowledge will allow you to plan your career and optimize your earnings. Important considerations include: In every field, one’s level of experience is a major factor in determining pay. Your earning potential grows in proportion to your level of experience. An individual’s educational background, relevant certificates, and specialized training can increase their market value and salary potential. Your wage may be affected by the location of your place of employment. Salary levels in metro areas and tech centers are often higher than in other locations. Salary ranges can be affected by the type of business you are in and the size of your employer.  Financial services, software development, and online retail are all sectors that are known to pay their employees more than average. Salary trends may be affected by factors such as the current need for Java developers, market circumstances, and new technologies. Keeping up with current events and learning new abilities will help you stand out from the competition. Factors Affecting Java Developer Salary in India Java Developer salaries in India can be affected by multiple factors. Let’s see some primary salary-affecting factors: Experience Location Job Role Skillset 1. Indian Java Developer Salaries by Experience Java developers are paid based on their abilities to write clean code, debug programs, and create exceptional client-server integrated solutions. You might choose programs that teach these abilities through case studies and real-world assignments.  To obtain valuable experience, you must work hard. Java developer salaries in India vary with experience. Experience Average Base Pay/yr (INR) Fresher (>1 year) ₹293,272 Early Career (1-4 years) ₹426,176 Mid Career (5-9 years) ₹872,366 Experienced (<10 years) ₹1,396,371   Income of Freshers in Java Development :  The average income for freshers is between INR 2 and 4 lakhs per year. Several variables, including formal education, work experience, and professional credentials, might affect this. Income from 1 to 4 years of experience in Java Development :  A Java developer with 2 years of expertise may expect to make between INR 4 and 8 Lakhs per year. Gaining experience on real-world projects and appropriate credentials can have a major influence on future earnings potential. Income from 5+ years of experience in Java Development :  With 7 years in the field, a Java developer may expect an annual Package in the range of INR 13-25 lakhs. Experienced experts are invaluable to businesses because of the breadth and depth of their knowledge. 2. Java Developer Salary with Location of Job 5 Best Paid Cities for Java Developers in India. Given below are the top 5 best-paid cities for Java Developers in India.   Java was originally designed

Career in Data Science

It has been a tradition that every IT engineer is being a java developer. Let’s break this tradition and learn something absolutely new. Everyday, technology is changing expeditiously. Data Science is a trending technology in IT. The dimension of a career is changing with respect to technology. A career in Data science is the right choice for freshers because Data science is ruling the Internet and it is on the top list of trending technologies. Data Science is recent in all the technologies. This blog “Career in Data Science” gives new dimensions to your career and it will help you to think outside of the box. A career in Data Science is a new opportunity for you all. Every fresher seems in a dilemma which domain should choose for their lucrative future. Mainly, Fresher wants to open better opportunities in the IT industry to start their career. In this blog, I am going to give you brief information about what is a data science and data scientist – their role, challenges, skills everything briefly about a career as a data scientist. Let’s see then. What is Data Science? Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, structured and unstructured, similar to data mining. Data Scientist is the person who is mainly responsible for managing and organizing the data which is useful for business purposes. Data architect, data mining engineer, data scientist, business analyst – these designations are under data science. We will be going to discuss data scientist. Role of Data Scientist “A data scientist is someone who is better at statistics than any software engineer and better at software engineering than any statistician”.  – Josh hWills Data scientists take a huge mass of structured and unstructured data and apply their analytics, statistics, and programming skills to clean, organize and manage the data. They use all their analytical abilities to find out solutions to all the issues. Data scientists are big data wranglers. Data scientists are the artist of data. They play with the cluster of data for cleaning and managing them and after organizing it, they transfer them into a good data format. Data scientists analyze, often called big data, which is gathered from various sources. Mainly in Data science, there are two types of data: structured data and unstructured data. Structured data – It is related to relational databases (RDBMS). Data like text strings having variable lengths like names are in records. Data like phone numbers or ZIP codes. Data may be human or machine-generated as long as the data is created within an RDBMS structure. Structured data is organized; it’s easy for engineers to work on it. Unstructured Data – Unstructured data rapidly growing form of big data. Unstructured data includes Text files, Emails, Social media posts, websites, and Media like audio, video, etc. This data is complex so it is difficult to sort. Data scientists have to manage this huge, both structured and unstructured, data and transfer them into useful data. It will give the best solutions to business issues. Thus, in this way, they help to generate more revenue for the company. Skills Required for Data Scientist For being a data scientist, you must be strong in technical skills first we see technical skills. You must be strong in Analytical and statistical problem-solving skills like you should be good in Math Statistics Data mining Data cleaning Machine learning tools and techniques Data visualization Python (most common), C/C++ Java, Perl Big data platforms like Hadoop, Hive & Pig Unstructured data techniques SQL databases and database querying languages Software engineering skills Cloud tools like Amazon S3 Problem-Solving: You have to face high-level challenges in the future so for that, you have to be good in problem-solving skills with the use of proper time and the right human resources. Communication: You have to deal with both technical and non-technical people. At that time, your communication should be in a comfortable language that they can understand. Skills: You must be enthusiastic about finding a creative and easy way to solve different kinds of problems. Knowledge: Understanding and knowledge of your own field are very essential. Because on the basis of your knowledge you are going to take the decision and it should be right. Then only, you can give a more effective solution to your business. Challenges Faced By Data Scientists Finding Issues – A Data Scientist has to handle a huge amount of data. So, it’s really difficult to identify the accurate issue. First, they gather all the huge data from various sources then they examine it properly. Easily they do not get the issue. They apply their proper algorithm and effective techniques for identifying the issue. After analysis, they find some glitches in it. Then they start working on it. Data Cleaning –According to the research, cleaning the data improves the company’s revenue. Because of the huge data, they have to clean it in a range of terabytes of data before the analysis so you can imagine how much it gets challenging for them to clean that huge range of data. Data Security – In today’s techno Savoy world, data security is a big issue. Since data is extracted through a lot of interconnection like the internet, different social media, and other sources are connected because of this connection, the chances of hacking increase. The question arises about data security due to some confidential data. Data scientists are facing obstacles in data extraction, and building algorithms. Lack of domain expertise- Data scientists must be good at technical and business skills. They must have deep domain knowledge and expertise. One of the biggest challenges for them is to apply domain knowledge using different algorithms to business solutions. Data scientists are connecting threads between IT and management. Domain expertise is required for their better performance. Opportunities for Data Scientists Data Science career opportunities will be at peak level. Huge demand for data

How to Prepare for a Technical Interview

How to prepare for a Technical Interview In this blog, you will come How to prepare for a technical interview. Let’s Get into Technical Interview Preparation – Today, process for recruitment become a little difficult, because one thing that is now every organization or company wants quality candidates for their work. That’s why the process has become tough, in this whole process only those candidates will be successful who are really deserving, Here in this blog, we are putting some light on one of the very important parts of this process which is the Technical Round. The natural process of the Interview is:– Aptitude Test Group Discussion Technical first/Technical Second HR We will talk about Technical interviews:- Technical Round is a very important round in this whole process. Sometimes, companies held two technical rounds in their recruitment process. The maximum number of candidates face any problem during this round, but a question comes to mind that is, why does it happen? It happens because of a very small reason, ie., lack of technical knowledge or not having good command in the particular domain. Consider these tips in your technical interview then you will get good results. Whenever you are going to give an interview, you should know which technology it is going to be, because many times we prepare for multiple domains, and lastly everything mixes up. See, gaining knowledge is not a one-day process. It is a long process. So, if you want to become perfect in any domain, you should start preparing as early as possible. Everything starts with the basic concept, here also each domain has its basics, and until you don’t know the basics, you cannot understand further things so very first clear your basics. “Practice makes a man perfect” – it is a fact. So, practice every important thing that is in your domain. These are the very basic tips to improve your technical knowledge. But now we will discuss a little deeper on a topic that is many people are good in technical but they don’t feel comfortable showing their knowledge. This is a problem many candidates face during interviews, now the solution, the first thing is many of the candidates suffer from a complex that is inferiority complex and lack of confidence, so you need to work on these two things. Don’t feel inferior in front of anybody because you are just putting your view or knowledge just do it as simple as it is, next is confidence build your confidence by delivering a simple presentation in form of a small group, participate in GD rounds there are also many things by you can build your confidence. Lastly, we conclude this blog “How to Prepare for Technical Interview” with this in mind – first, we need to command our basics, then we have to build our confidence and try to learn how to represent ourselves in front of someone. Thanks for reading kindly share with others We iTpreneur understand the need of a student and that’s why we have designed our whole Domain Course program in such a way that should not feel any problem during the interview. Also, our soft skill and Aptitude Classes help you to improve your personality and skills.

Effect of Automation in IT Sector

For the Last Few Months, we are listing the name of Automation a lot, but what is this automation, and is it going to affect the IT Industry of India? This Question is in maximum people’s minds, this blog will give you insight on this question. We can say, Automation is a Technique in Which any Device or System operates automatically without external interference. In it, you can easily monitor and control the production and delivery of products and services. In the profession of Automation, every person from Creator to Applicant and one who monitors or controls the process play important role in this. One who is in the Creation and Application of the technology to monitor and control the production process and delivery of Products and Services is an Automation Professional. IT in India is a huge sector of employment and it is providing do but from the last few months something has changed and companies hiring fewer fresher’s due to the automation of entry-level jobs. Right now, many IT Companies implement Automation Technology in their services, and because of this, the need for human resources decreasing in spite of that, robotics doing their work. It’s fact that the IT Industry hires the maximum number of candidates compared to any other industry but after the implementation of Automation Robotics perhaps 70% offshore IT Jobs and 20%, 30% finance job will disappear in upcoming 10 years In India. According to a recent World Bank report, automation threatens 7 out of 10 jobs in India. After the automation in spite of hiring a new candidate company will Re-skill existing Employees. Statement of Some Expert’s on Automation Wipro HR head Saurabh Govil said Automation has been changing every sector and putting the squeeze on people, and it’s now the turn of IT. “If you consider the various jobs that any industry has, it is likely that repetitive tasks that can be performed better by systems with artificial intelligence are the jobs that will go away,” Richard Lobo(executive vice-president and head of HR at Infosys) says, “We continue our relentless focus on introducing automation across our projects in the backdrop of pricing pressure in traditional services and we expect this to reflect in our future hiring,”. Infosys chief executive Vishal Sikka said in a recent conference call with analysts. Automation will help companies improve operating margins. The employees, who are released, are trained to work on more advanced projects. But there is one thing more that we should consider that is when some jobs get eliminated, many more will be created it is also a fact, yes right now we cannot say anything far from this but yes any technology ultimately gives benefit to the peoples. Let’s see some pros and cons of Automation, Advantages:- 1. The very first profit of automation is it will reduce the cost of human labor. 2. It will increase the productivity and also the quality of the Product. 3. It will also increase the Consistency of the process, also decrease the cycle time. 4. It can also perform those tasks that humans cannot. 5. One of the most important benefits I think will be that it will generate job opportunity development, deployment, maintenance, and running of the automated processes. Disadvantages:- 1. Automated systems may have a limited level of intelligence so some Errors are cannot be resolved by Robotics. This means it cannot apply the rules of simple logic to general propositions 2. In this Development process the Cost can vary any time we cannot predict it, and also the initial cost of Implementing is higher compared to the traditional setup. So finally we can say and hope that overall the new implementation of Artificial Intelligence will bring some new Job Opportunities and also open new Dimension for Work.

Future In IT – A Must Read Blog After Automation

This article is about the future in IT. The day when the IT Industry Started in India was a very important day for all of us, it was 1967 and the place was Mumbai. IT sector contributed so much to India it also helped to grow the Indian Economy as well. IT gave many youngsters employment. India is the second-largest exporter of IT. Right now, the Indian IT market focuses on providing low-cost solutions in the services business of global IT. IT plays an important role in the development of India, but right now we are watching a totally different face of IT because of the US President’s new rules and regulations and the implementation of the Artificial Intelligence IT Sector stuck a little bit. Artificial Intelligence is taking over the maximum number of IT workers’ jobs, as we have already seen this year many IT workers fired from the top MNC. But now the question arises what will be the future of IT in India. So, we can say that change is part of Nature so it’s ok like that we should take it easy and need to upgrade. Now we have to upgrade ourselves with the technology, because of Artificial Intelligence everything is not going to be over. There will be many more options open on which you can work in IT, only some specific domains will disappear but there are many other domains as well on which you can make your career. At the turn of the century, a boom in the IT sector led by companies such as TCS, Infosys, and Wipro translated into the creation of thousands of white-collar jobs in the country, and a relatively easy opportunity to work onsite. But as the nature of the work was more mundane, the cheap availability of adequately skilled professionals in India and the ease of working in foreign markets helped major IT firms continue to hire large numbers of IT graduates year after year. With the changing times, the IT industry has witnessed a change in these exact parameters; automation and protectionist policies are forcing the big IT companies to rethink their hiring policies. With shortening profit margins, IT companies are aiming to revamp their business models, acquire companies to diversify their core offering to accommodate changing demands, and are slowly opening up to adopting automation to make their processes more efficient. So by this, we can say that with understanding the change we can sustain and make our career. These are the ten High- Skill IT Jobs That will be in the Demand Hope the article Future in IT will be helpful to you.

5 Reasons to Choose Python Programming as a Career

I am sure you must be eager to read about the Python programming language to choose it as a career option. We always find ourselves in a dilemma while seeking answers for career-related questions that what we should opt for to lock better opportunities in the future.  Especially, students who have just passed out of engineering college and want to open lucrative doors in the IT industry to start their career may encounter questions like which domain to choose and what will be the scope in the future. To work in the IT industry one must master the knowledge of programming and software. This blog will give you an insight into Python and what scope it holds in the future. Python, designed by Guido Van Rossum, a Dutch programmer in the year 1991 is a universally used high-level and general-purpose programming language that emphasizes code readability, notably using significant whitespace. Python is one of the languages which is simple and powerful from a programmer’s perception. It is also a dynamically typed language because it carries out error checking at runtime. Python is one of the fastest-growing programming languages in comparison to other programming languages because it has experienced success in a short span of time as far as its adoption is concerned. In fact, it has been aiding as the best programming language for application development, web development, GIS, Mapping, scripting, game development, system administration, scientific and numeric computing, etc. Survey says it’s the second most popular language this year after Java. Why Python over other languages? The reason behind the colossal popularity of the Python programming language across the world is the feature it offers. Programmer or developer finds it very flexible, object-oriented, imperative, procedural, functional, etc. It’s an open-source language which means it is easily available on the internet and you need not buy the costly license. As it is easy to learn, it makes troubleshooting bugs tranquil for programmers on a large scale. Python is time-saving as it offers fewer lines of code and does not require variable declaration. In addition, variables in python programming are reusable. It also provides comfort to the programmers while coding because of its extensive standard libraries and its tool that enhances the overall functionality. It has a vast support system that provides a solution to the programmers and you may also find new ideas regarding Python technology or change in its version. Big brands and industry giants like Google, Spotify, and Netflix generate insights and build products also use them to solve their complex problems. In comparison to other programming languages, python does not define the scope of functions or loops within parenthesis rather it uses indentation for defining scope. Unlike Java, it has simpler syntaxes and multiple lines of code reframed to a single line of code like swapping of variables. Here is an example to explain you better; Java:      int temp = x;                 x = y;                 y = temp; Python:                                x, y = y, x Use of Python in different Domains IOT: Internet of things In uncomplicated terms, IOT i.e. internet of things is the concept of connecting any device to the internet and to other connected devices. Devices and objects with built-in sensors are connected to an Internet of Things, which incorporates data from different devices and applies analytics to share the important information with the devices which have built-in sensors to address the specific needs. The information picked up by connected devices enables a person to make a better decision further. Now you must be thinking about how the Python language works in IoT does. Python is very flexible than any other programming language like Java, C, or C++ and has become a beneficial resource for web development. It helps IoT projects as it supports entrenched programming and has made significant changes in IoT developers. As a developer or programmer, you will find Python as a good option for data-intensive applications, especially for complex data. IoT is no different from any other application we use, it just requires you to perform everything at once. For any website or application development, a lot of coding takes place in the back end.  Thus, Python as a programming language stands out best among the rest because it simplifies even complex data. Data Analytics Data analytics is the process of examining any data to infer about the information they contain. Data analytics tools and techniques are broadly used by corporates or IT industries to empower organizations for better-informed decision making. In addition, data analytics ingenuities can help any business to increase their revenue and in growth in the market. There are some errors which are found before data is completely ready and fixing those errors and cleaning any bugs is called data mugging. The data analyst with core knowledge of Python and data sets and data structure is proficient in any data analytic job. Data scientist A data scientist is a person employed to analyze, collect and interpret a giant amount of data to aid businesses or organizations to gain a vying edge over rivals with growth. The demand for data science skills has grown considerably in recent years as companies looking to gather the information that large enterprises produce called big data. Python helps data scientists as it’s a multi-paradigm programming language that succors object-oriented programming, structured programming, and functional programming among other languages. The full-fledged programming nature of python makes it an impeccable fit to effectuate algorithms. Business analytics Business analytics is used to measure the performance of any business or organization to derive insights that can be used for future business planning. This field is now applied across all domains and industries with more amounts of data generated. In the back end, you need to extract data from different sources which will be useful for dashboarding and reporting. Being business analytics you will need to handle a lot of data and Python is more than a complete language that will ease your task. Python has a powerful data

Data Science & The Online Gaming Industry

The online gaming industry is expected to grow at a compound annual growth rate (CAGR) of 40% to $2.8 billion by 2022, up from $1.1 billion in 2019, according to a Deloitte India report. With more than 2 billion users and growing every year, the online gaming industry offers huge potential in the field of Data Science. Let us look at this from a little futuristic perspective. The gaming industry has gained popularity over the years. In 2020 when the lockdown offered many people a chance to stay home, this further opened up many users to online gaming. Data Scientists analyze the data presented by the growing multitudes of users. In Data Science, a vast array of data points are analyzed on various metrics such as predictability analysis, user interaction times, quitting time, incentive buying, activity peak points, scores, and many other facets. Data scientists also are involved in game design as they have an analysis of the performance of the game based on the UI-UX of the game. They mark large pockets of engagement or the lack of it when the change in the user interface has been introduced. Machine learning, algorithms, patterns of users, are also enhanced into the interface of the game by data scientists.  When certain user maps are formed as to how most users navigate through the game, they offer the company to incentivize through their user’s journey. Data Scientists thus assist companies to grow with variable inputs that can maximize a company’s earning potential. Over the years, the need for data scientists has increased. The gaming industry that is ever-growing every single day has a constant requirement for data scientists. The industry is divided by user preferences, time zones, geographies, spending habits, and age. ITPreneur offers a placement assured data science course that covers all the facets of analysis in the online gaming industry. The need for data scientists is ever-growing as the analysis and interpretation of data is widely used in various industries such as finance, telecommunications, internet, automotive, healthcare, travel industry, energy, manufacturing, and pharmaceuticals. The Data Science course designed by ITPreneur is built keeping in mind the industry requirements. The curriculum covers machine learning, statistics for data science, data visualization, core python, and data analysis basics with python. However, given the youth, that is anyways, interested in online games such as PUBG, Rummy, and Cricket, the course offers a palpable job in the gaming industries where there is an ever-growing need for qualified data scientists. The journey may be a little long, that is an interested candidate may have to spend a good four months to understand the nitty-gritty of the field. However, after extensive training and working on live projects, one does have the assurance of a job at the end of the course. While the online gaming industry is growing as we speak, we have also seen that a lot of students of ITPreneur enjoying great success in the jobs that they acquired post completion of their training. Want to learn more about how you can begin a career as a data scientist? Feel free to visit our website for more information.

Why Dot Net will Never go out of Fashion?

.NET is the killer product. It gives developers choice and power. The majority of the current developers, they writing business applications that have some Internet components. To ensure security and scalability programmers do not have to waste time in repetitive code because with .NET, these things are built-in. Microsoft’s .net is counter to technologies such as Java and movements such as open source.  Microsoft plans to position the company as an innovator with the product of C# and internet standard bodies such as the one that ratified SOAP. .NET is important to each group like a developer, project managers, and companies Developer: .NET language has control over developers.  The dot net allows the Developer to choose their language and their project paradigm—even the development environment is completely customizable. If you get knowledge of .net tools then it’s easy to handle. With this joyful environment of dot net, developers will see increased productivity and enhanced capability. Project Manager: In the software development process, the project managers are on the front line. A project manager has to answer to both users and management for the status, or feature-set of a piece of software. Project managers face the challenge for increased the productivity of products and delivered within the timeline. Company: For the company, .NET allows exploring new business models. Like the Internet has created new markets and sales channels, Microsoft intends to develop software services for existing business models. For example, consider a consumer product research firm. Dot NET opens up new partnership opportunities for business. It also assures a higher degree of connectivity, connectivity, and productivity.  Dot net enables businesses to focus on the future without letting go of the past. For End-users .NET puts their information through centralized services in control. Functions: Productive: .NET helps you develop high-quality applications faster. Generics, Language Integrated Query, and asynchronous programming with this Modern language make developers productive. Any app, any platform: With .NET you can run any application type on any platform. Developers can reuse the code across all of them in a familiar environment. Performance: In application, performance is a critical feature but in dot net, it provides better response times and requires less compute power Dot NET performs very fast than other frameworks. Stack Overflow serves 5.3M page views a day on just 9 servers. Trusted and secure .NET provides you security benefits via its managed runtime. ASP.NET has a good framework that is available to prevent certain types of attacks. It also generates anti-forgery tokens. It prevents critical issues like bad pointer manipulation or malicious attempts to alter compiled code. Microsoft takes security very seriously and releases updates accordingly when threats are discovered. Large ecosystem: With the negative to positive trends and that position .net has changed its ecosystem.  Find answers to technical challenges from the community, key players in the company, and our large supportive organization. Open source: .net is open-source and under the .net Foundation. It is an independent non-profit supporting the innovative, commercially friendly. Because .NET is open-source so it has thousands of contributions from developers and companies outside of Microsoft. Important to Dot Net Developer: If we take a look at the survey, the results from the past two years (i.e. 2019 and 2020) are quite unusual for the .NET framework in the stack overflow survey cycles. Dot net Core is one place in 2019 compared to 2018, but the cool thing is Net is now back in the competition. This could be due to Microsoft’s release of .NET 5. iTpreneur Data System is the best IT Training and placement institute, who provides a 100% job Guarantee for the Dot net training course in Pune. We are Dot Net training & Certification Center in Pune Get trained by industry experts with live project work. Along with the dot net certification, we also offer technologically advanced certifications such as data science training, full-stack web development, database and, software testing with Selenium.